You’ve optimised for Google. You’re ranking. But when your prospects ask ChatGPT or Perplexity for recommendations, your brand doesn’t show up. Instead, they see your competitors cited as sources, woven into the answer itself. This is the new visibility problem. AI-powered search isn’t replacing Google overnight,
For two decades, content strategy revolved around keywords. We built campaigns around search volume, difficulty scores, and keyword placement. The assumption was simple: match the words people type, and you'll rank. AI systems don't work this way. They don't search for strings of text, instead they search for concepts. When
AI search is changing what it means to be "discoverable" on the internet. For two decades, content discovery meant ranking a page, winning a click, and converting that visitor on your site. Now, large language models and AI-powered search experiences increasingly resolve intent inside the interface, often without sending traffic
A question I hear more and more is how ChatGPT decides which products to recommend. The short answer is that it doesn’t rank tools the way Google ranks pages. It learns from how the internet explains, compares, and contextualises products over time. People treat ChatGPT like a search engine
Artificial intelligence has been through plenty of “next big things.” A decade ago everyone was talking about deep learning; by 2023 we were drowning in large language models. Now, in the middle of 2025, the discourse has shifted again. This time the buzzword is agentic AI systems built from multiple